Analise de dados da qualidade de maças

Este relatório fornece uma análise visual e estatística detalhada de um determinado conjunto de dados, usando várias técnicas como mapas de calor de correlação, histogramas, gráficos de dispersão e regressões lineares.

1. Correlação Heatmap

Este mapa de calor mostra a correlação entre colunas numéricas no conjunto de dados. Um valor próximo de 1 indica uma forte correlação positiva, enquanto um valor próximo de -1 indica uma forte correlação negativa. Um valor próximo de 0 significa que não há correlação.

Correlation Heatmap

2. Descriptive Statistics

The table below summarizes the basic statistics for each numerical column, including the count, mean, standard deviation, and the minimum and maximum values.

Column Count Mean Std Min 25% 50% 75% Max
A_id 4000.0 1999.5 1154.8448669265786 0.0 999.75 1999.5 2999.25 3999.0
Size 4000.0 -0.50301462982675 1.928058688854979 -7.151703059 -1.816764527 -0.5137025125000001 0.8055264495000001 6.406366899
Weight 4000.0 -0.9895465445945 1.6025072141517547 -7.149847675 -2.01177029275 -0.9847364865 0.03097644 5.79071359
Sweetness 4000.0 -0.47047851978824995 1.943440658920452 -6.894485494 -1.7384250625 -0.5047584635 0.8019219209999999 6.374915513
Crunchiness 4000.0 0.9854779038585 1.402757204211963 -6.055057805 0.06276439525000001 0.9982494390000001 1.8942342170000002 7.619851801
Juiciness 4000.0 0.5121179684932501 1.9302856730942946 -5.961897048 -0.80128581525 0.5342186584999999 1.8359763875 7.364402864
Ripeness 4000.0 0.4982774280305 1.8744267757033417 -5.864598918 -0.7716768665 0.5034447135 1.76621164075 7.237836684

3. Histograms

Histograms provide an overview of the distribution of values for each numerical column. The density curve helps visualize the probability distribution of the data.

A_id

Histogram for A_id

Size

Histogram for Size

Weight

Histogram for Weight

Sweetness

Histogram for Sweetness

Crunchiness

Histogram for Crunchiness

Juiciness

Histogram for Juiciness

Ripeness

Histogram for Ripeness

4. Scatter Plots

Scatter plots show the relationship between two numerical variables. A pattern can help identify correlations, trends, or outliers.

A_id_vs_Size

A_id_vs_Size

A_id_vs_Weight

A_id_vs_Weight

A_id_vs_Sweetness

A_id_vs_Sweetness

A_id_vs_Crunchiness

A_id_vs_Crunchiness

A_id_vs_Juiciness

A_id_vs_Juiciness

A_id_vs_Ripeness

A_id_vs_Ripeness

Size_vs_Weight

Size_vs_Weight

Size_vs_Sweetness

Size_vs_Sweetness

Size_vs_Crunchiness

Size_vs_Crunchiness

Size_vs_Juiciness

Size_vs_Juiciness

Size_vs_Ripeness

Size_vs_Ripeness

Weight_vs_Sweetness

Weight_vs_Sweetness

Weight_vs_Crunchiness

Weight_vs_Crunchiness

Weight_vs_Juiciness

Weight_vs_Juiciness

Weight_vs_Ripeness

Weight_vs_Ripeness

Sweetness_vs_Crunchiness

Sweetness_vs_Crunchiness

Sweetness_vs_Juiciness

Sweetness_vs_Juiciness

Sweetness_vs_Ripeness

Sweetness_vs_Ripeness

Crunchiness_vs_Juiciness

Crunchiness_vs_Juiciness

Crunchiness_vs_Ripeness

Crunchiness_vs_Ripeness

Juiciness_vs_Ripeness

Juiciness_vs_Ripeness

5. Regression Analysis

Linear regression attempts to model the relationship between two numerical variables by fitting a line through the data points. The red line in the graphs represents the linear fit.

A_id_reg_Size

Regression plot for A_id_reg_Size

A_id_reg_Weight

Regression plot for A_id_reg_Weight

A_id_reg_Sweetness

Regression plot for A_id_reg_Sweetness

A_id_reg_Crunchiness

Regression plot for A_id_reg_Crunchiness

A_id_reg_Juiciness

Regression plot for A_id_reg_Juiciness

A_id_reg_Ripeness

Regression plot for A_id_reg_Ripeness

Size_reg_A_id

Regression plot for Size_reg_A_id

Size_reg_Weight

Regression plot for Size_reg_Weight

Size_reg_Sweetness

Regression plot for Size_reg_Sweetness

Size_reg_Crunchiness

Regression plot for Size_reg_Crunchiness

Size_reg_Juiciness

Regression plot for Size_reg_Juiciness

Size_reg_Ripeness

Regression plot for Size_reg_Ripeness

Weight_reg_A_id

Regression plot for Weight_reg_A_id

Weight_reg_Size

Regression plot for Weight_reg_Size

Weight_reg_Sweetness

Regression plot for Weight_reg_Sweetness

Weight_reg_Crunchiness

Regression plot for Weight_reg_Crunchiness

Weight_reg_Juiciness

Regression plot for Weight_reg_Juiciness

Weight_reg_Ripeness

Regression plot for Weight_reg_Ripeness

Sweetness_reg_A_id

Regression plot for Sweetness_reg_A_id

Sweetness_reg_Size

Regression plot for Sweetness_reg_Size

Sweetness_reg_Weight

Regression plot for Sweetness_reg_Weight

Sweetness_reg_Crunchiness

Regression plot for Sweetness_reg_Crunchiness

Sweetness_reg_Juiciness

Regression plot for Sweetness_reg_Juiciness

Sweetness_reg_Ripeness

Regression plot for Sweetness_reg_Ripeness

Crunchiness_reg_A_id

Regression plot for Crunchiness_reg_A_id

Crunchiness_reg_Size

Regression plot for Crunchiness_reg_Size

Crunchiness_reg_Weight

Regression plot for Crunchiness_reg_Weight

Crunchiness_reg_Sweetness

Regression plot for Crunchiness_reg_Sweetness

Crunchiness_reg_Juiciness

Regression plot for Crunchiness_reg_Juiciness

Crunchiness_reg_Ripeness

Regression plot for Crunchiness_reg_Ripeness

Juiciness_reg_A_id

Regression plot for Juiciness_reg_A_id

Juiciness_reg_Size

Regression plot for Juiciness_reg_Size

Juiciness_reg_Weight

Regression plot for Juiciness_reg_Weight

Juiciness_reg_Sweetness

Regression plot for Juiciness_reg_Sweetness

Juiciness_reg_Crunchiness

Regression plot for Juiciness_reg_Crunchiness

Juiciness_reg_Ripeness

Regression plot for Juiciness_reg_Ripeness

Ripeness_reg_A_id

Regression plot for Ripeness_reg_A_id

Ripeness_reg_Size

Regression plot for Ripeness_reg_Size

Ripeness_reg_Weight

Regression plot for Ripeness_reg_Weight

Ripeness_reg_Sweetness

Regression plot for Ripeness_reg_Sweetness

Ripeness_reg_Crunchiness

Regression plot for Ripeness_reg_Crunchiness

Ripeness_reg_Juiciness

Regression plot for Ripeness_reg_Juiciness